Cover Image

INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Hanbin, Liu, Zhenghao, Wang, Shuo, Cui, Ganqu, Ding, Ning, Liu, Zhiyuan, Yu, Ge
Format:	Preprint
Published:	2023
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
by: Yang, Weiqing, et al.
Published: (2024)

Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments
by: Zhao, Qianhui, et al.
Published: (2024)

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation
by: Yang, Zhen, et al.
Published: (2024)

Teaching LLMs to Learn Tool Trialing and Execution through Environment Interaction
by: Gao, Xingjie, et al.
Published: (2026)

SWE-Compass: Towards Unified Evaluation of Agentic Coding Abilities for Large Language Models
by: Xu, Jingxuan, et al.
Published: (2025)

Improving MPI Error Detection and Repair with Large Language Models and Bug References
by: Piersall, Scott, et al.
Published: (2026)

Automated Repair of AI Code with Large Language Models and Formal Verification
by: Charalambous, Yiannis, et al.
Published: (2024)

V-GameGym: Visual Game Generation for Code Large Language Models
by: Zhang, Wei, et al.
Published: (2025)

CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases
by: Liu, Xiangyan, et al.
Published: (2024)

CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
by: Wang, Peiding, et al.
Published: (2025)

Exploring Data-Efficient Adaptation of Large Language Models for Code Generation
by: Jiang, Xue, et al.
Published: (2024)

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
by: Jiang, Siyuan, et al.
Published: (2024)

CODEMENV: Benchmarking Large Language Models on Code Migration
by: Cheng, Keyuan, et al.
Published: (2025)

Crystal: Illuminating LLM Abilities on Language and Code
by: Tao, Tianhua, et al.
Published: (2024)

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models
by: Wang, Yanlin, et al.
Published: (2024)

Exploring Language Model's Code Generation Ability with Auxiliary Functions
by: Lee, Seonghyeon, et al.
Published: (2024)

Software Development Life Cycle Perspective: A Survey of Benchmarks for Code Large Language Models and Agents
by: Wang, Kaixin, et al.
Published: (2025)

Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
by: Wang, Jian, et al.
Published: (2025)

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models
by: Liu, Quanming, et al.
Published: (2025)

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research
by: Yan, Shuo, et al.
Published: (2025)

Beyond Autoregression: An Empirical Study of Diffusion Large Language Models for Code Generation
by: Li, Chengze, et al.
Published: (2025)

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation
by: Xiong, Zhanhang, et al.
Published: (2025)

Evaluating Code Reasoning Abilities of Large Language Models Under Real-World Settings
by: Liu, Changshu, et al.
Published: (2025)

ModiGen: A Large Language Model-Based Workflow for Multi-Task Modelica Code Generation
by: Xiang, Jiahui, et al.
Published: (2025)

LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness
by: Ye, Tong, et al.
Published: (2025)

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
by: Guo, Jiawei, et al.
Published: (2024)

Personality-Guided Code Generation Using Large Language Models
by: Guo, Yaoqi, et al.
Published: (2024)

Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
by: Islam, Nafis Tanveer, et al.
Published: (2024)

Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity
by: Wang, Chung-Yu, et al.
Published: (2024)

NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair
by: Yang, Zhenyu, et al.
Published: (2024)

Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation
by: Hou, Shuyang, et al.
Published: (2024)

Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation
by: Cui, Yi
Published: (2025)

Structure-Aware Corpus Construction and User-Perception-Aligned Metrics for Large-Language-Model Code Completion
by: Liu, Dengfeng, et al.
Published: (2025)

CoCo-Bench: A Comprehensive Code Benchmark For Multi-task Large Language Model Evaluation
by: Yin, Wenjing, et al.
Published: (2025)

Exploring Large Language Models in Resolving Environment-Related Crash Bugs: Localizing and Repairing
by: Du, Xueying, et al.
Published: (2023)

FeedbackEval: A Benchmark for Evaluating Large Language Models in Feedback-Driven Code Repair Tasks
by: Dai, Dekun, et al.
Published: (2025)

HTMLCure: Turning Browser Experience into State Guided Repair for Interactive HTML
by: Wu, Jiajun, et al.
Published: (2026)

Effective Code Membership Inference for Code Completion Models via Adversarial Prompts
by: Jiang, Yuan, et al.
Published: (2025)

An Effective Approach to Embedding Source Code by Combining Large Language and Sentence Embedding Models
by: Xian, Zixiang, et al.
Published: (2024)

Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
by: He, Mengliang, et al.
Published: (2025)